diff options
Diffstat (limited to 'tests/validation/fixtures/dynamic_fusion/operators/MulFixture.h')
| -rw-r--r-- | tests/validation/fixtures/dynamic_fusion/operators/MulFixture.h | 326 |
1 files changed, 167 insertions, 159 deletions
diff --git a/tests/validation/fixtures/dynamic_fusion/operators/MulFixture.h b/tests/validation/fixtures/dynamic_fusion/operators/MulFixture.h index 02dc996ffa..f02aa5e36a 100644 --- a/tests/validation/fixtures/dynamic_fusion/operators/MulFixture.h +++ b/tests/validation/fixtures/dynamic_fusion/operators/MulFixture.h @@ -1,5 +1,5 @@ /* - * Copyright (c) 2023 Arm Limited. + * Copyright (c) 2023-2024 Arm Limited. * * SPDX-License-Identifier: MIT * @@ -21,8 +21,8 @@ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE * SOFTWARE. */ -#ifndef TESTS_VALIDATION_FIXTURES_DYNAMIC_FUSION_OPERATORS_MULFIXTURE -#define TESTS_VALIDATION_FIXTURES_DYNAMIC_FUSION_OPERATORS_MULFIXTURE +#ifndef ACL_TESTS_VALIDATION_FIXTURES_DYNAMIC_FUSION_OPERATORS_MULFIXTURE_H +#define ACL_TESTS_VALIDATION_FIXTURES_DYNAMIC_FUSION_OPERATORS_MULFIXTURE_H #include "arm_compute/core/CL/CLKernelLibrary.h" #include "arm_compute/core/TensorInfo.h" @@ -31,9 +31,9 @@ #include "arm_compute/dynamic_fusion/sketch/gpu/GpuWorkloadSketch.h" #include "arm_compute/dynamic_fusion/sketch/gpu/operators/GpuOutput.h" -#include "tests/Globals.h" #include "tests/framework/Fixture.h" #include "tests/framework/Macros.h" +#include "tests/Globals.h" #include "tests/validation/reference/PixelWiseMultiplication.h" using namespace arm_compute::experimental::dynamic_fusion; @@ -52,180 +52,188 @@ template <typename TensorType, typename AccessorType, typename FunctionType, typ class DynamicFusionMulValidationFixture : public framework::Fixture { public: - void setup(const TensorShape &shape0, const TensorShape &shape1, const TensorShape &shape2, DataType data_type, bool is_inplace, bool fuse_two_ops = false) - { - _data_type = data_type; - _is_inplace = is_inplace; - _fuse = fuse_two_ops; - ARM_COMPUTE_ERROR_ON_MSG(_fuse && shape2.total_size() == 0, "No shape2 provided for fusion of two ops."); - ARM_COMPUTE_ERROR_ON_MSG(_fuse && _is_inplace, "In place for fusing case not supported yet."); - _target = compute_target(shape0, shape1, shape2); - _reference = compute_reference(shape0, shape1, shape2); - } + void setup(const TensorShape &shape0, + const TensorShape &shape1, + const TensorShape &shape2, + DataType data_type, + bool is_inplace, + bool fuse_two_ops = false) + { + _data_type = data_type; + _is_inplace = is_inplace; + _fuse = fuse_two_ops; + ARM_COMPUTE_ERROR_ON_MSG(_fuse && shape2.total_size() == 0, "No shape2 provided for fusion of two ops."); + ARM_COMPUTE_ERROR_ON_MSG(_fuse && _is_inplace, "In place for fusing case not supported yet."); + _target = compute_target(shape0, shape1, shape2); + _reference = compute_reference(shape0, shape1, shape2); + } protected: - template <typename U> - void fill(U &&tensor, int i) - { - library->fill_tensor_uniform(tensor, i); - } - - TensorType compute_target(const TensorShape &shape0, const TensorShape &shape1, const TensorShape &shape2) - { - // Create a new workload sketch - auto cl_compile_ctx = CLKernelLibrary::get().get_compile_context(); - auto context = GpuWorkloadContext{ &cl_compile_ctx }; - GpuWorkloadSketch sketch{ &context }; - - // Fuse first multiplication op - TensorInfo lhs_info = context.create_tensor_info(TensorInfo(shape0, 1, _data_type)); - TensorInfo rhs_info = context.create_tensor_info(TensorInfo(shape1, 1, _data_type)); - TensorInfo dst_info = context.create_tensor_info(); - - TensorInfo rhs_info_fuse; - - ITensorInfo *ans_info = FunctionType::create_op(sketch, &lhs_info, &rhs_info); - - if(_fuse) - { - rhs_info_fuse = context.create_tensor_info(TensorInfo(shape2, 1, _data_type)); - ITensorInfo *ans2_info = FunctionType::create_op(sketch, ans_info, &rhs_info_fuse); - GpuOutput::create_op(sketch, ans2_info, &dst_info); - } - else - { - GpuOutput::create_op(sketch, ans_info, &dst_info); - } - - // Configure runtime - ClWorkloadRuntime runtime; - runtime.configure(sketch); - - // (Important) Allocate auxiliary tensor memory if there are any - for(auto &data : runtime.get_auxiliary_tensors()) - { - CLTensor *tensor = std::get<0>(data); - TensorInfo info = std::get<1>(data); - AuxMemoryInfo aux_mem_req = std::get<2>(data); - tensor->allocator()->init(info, aux_mem_req.alignment); - tensor->allocator()->allocate(); // Use ACL allocated memory - } - - // Construct user tensors - TensorType t_lhs{}; - TensorType t_rhs{}; - TensorType t_rhs_fuse{}; - TensorType t_dst{}; - - // Initialize user tensors - t_lhs.allocator()->init(lhs_info); - t_rhs.allocator()->init(rhs_info); - t_dst.allocator()->init(dst_info); - if(_fuse) - { - t_rhs_fuse.allocator()->init(rhs_info_fuse); - } - - // Allocate and fill user tensors - // Instead of using ACL allocator, the user can choose to import memory into the tensors - t_lhs.allocator()->allocate(); - t_rhs.allocator()->allocate(); - t_dst.allocator()->allocate(); - if(_fuse) - { - t_rhs_fuse.allocator()->allocate(); - } - - fill(AccessorType(t_lhs), 0); - fill(AccessorType(t_rhs), 1); - if(_fuse) - { - fill(AccessorType(t_rhs_fuse), 2); - } - - // Run runtime - if(_fuse) - { - runtime.run({ &t_lhs, &t_rhs, &t_rhs_fuse, &t_dst }); - } - else - { - runtime.run({ &t_lhs, &t_rhs, &t_dst }); - } - - return t_dst; - } - - SimpleTensor<T> compute_reference(const TensorShape &shape0, const TensorShape &shape1, const TensorShape &shape2) - { - // Create reference - SimpleTensor<T> ref_lhs{ shape0, _data_type, 1, QuantizationInfo() }; - SimpleTensor<T> ref_rhs{ shape1, _data_type, 1, QuantizationInfo() }; - SimpleTensor<T> ref_rhs_fuse{ shape2, _data_type, 1, QuantizationInfo() }; - - // Fill reference - fill(ref_lhs, 0); - fill(ref_rhs, 1); - SimpleTensor<T> ref_dst = reference::pixel_wise_multiplication<T, T, T>(ref_lhs, - ref_rhs, - 1.f, - ConvertPolicy::SATURATE, - RoundingPolicy::TO_NEAREST_UP, - _data_type, - QuantizationInfo()); - if(_fuse) - { - fill(ref_rhs_fuse, 2); - SimpleTensor<T> ref_dst_fuse = reference::pixel_wise_multiplication<T, T, T>(ref_dst, - ref_rhs_fuse, - 1.f, - ConvertPolicy::SATURATE, - RoundingPolicy::TO_NEAREST_UP, - _data_type, - QuantizationInfo()); - return ref_dst_fuse; - } - return ref_dst; - } - - TensorType _target{}; - SimpleTensor<T> _reference{}; - DataType _data_type{}; - bool _is_inplace{ false }; - bool _fuse{ false }; + template <typename U> + void fill(U &&tensor, int i) + { + library->fill_tensor_uniform(tensor, i); + } + + TensorType compute_target(const TensorShape &shape0, const TensorShape &shape1, const TensorShape &shape2) + { + // Create a new workload sketch + auto cl_compile_ctx = CLKernelLibrary::get().get_compile_context(); + auto context = GpuWorkloadContext{&cl_compile_ctx}; + GpuWorkloadSketch sketch{&context}; + + // Fuse first multiplication op + ITensorInfo *lhs_info = context.create_tensor_info(TensorInfo(shape0, 1, _data_type)); + ITensorInfo *rhs_info = context.create_tensor_info(TensorInfo(shape1, 1, _data_type)); + ITensorInfo *dst_info = context.create_tensor_info(); + + ITensorInfo *rhs_info_fuse = nullptr; + + ITensorInfo *ans_info = FunctionType::create_op(sketch, lhs_info, rhs_info); + + if (_fuse) + { + rhs_info_fuse = context.create_tensor_info(TensorInfo(shape2, 1, _data_type)); + ITensorInfo *ans2_info = FunctionType::create_op(sketch, ans_info, rhs_info_fuse); + GpuOutput::create_op(sketch, ans2_info, dst_info); + } + else + { + GpuOutput::create_op(sketch, ans_info, dst_info); + } + + // Configure runtime + ClWorkloadRuntime runtime; + runtime.configure(sketch); + + // (Important) Allocate auxiliary tensor memory if there are any + for (auto &data : runtime.get_auxiliary_tensors()) + { + CLTensor *tensor = std::get<0>(data); + TensorInfo info = std::get<1>(data); + AuxMemoryInfo aux_mem_req = std::get<2>(data); + tensor->allocator()->init(info, aux_mem_req.alignment); + tensor->allocator()->allocate(); // Use ACL allocated memory + } + + // Construct user tensors + TensorType t_lhs{}; + TensorType t_rhs{}; + TensorType t_rhs_fuse{}; + TensorType t_dst{}; + + // Initialize user tensors + t_lhs.allocator()->init(*lhs_info); + t_rhs.allocator()->init(*rhs_info); + t_dst.allocator()->init(*dst_info); + if (_fuse) + { + t_rhs_fuse.allocator()->init(*rhs_info_fuse); + } + + // Allocate and fill user tensors + // Instead of using ACL allocator, the user can choose to import memory into the tensors + t_lhs.allocator()->allocate(); + t_rhs.allocator()->allocate(); + t_dst.allocator()->allocate(); + if (_fuse) + { + t_rhs_fuse.allocator()->allocate(); + } + + fill(AccessorType(t_lhs), 0); + fill(AccessorType(t_rhs), 1); + if (_fuse) + { + fill(AccessorType(t_rhs_fuse), 2); + } + + // Run runtime + if (_fuse) + { + runtime.run({&t_lhs, &t_rhs, &t_rhs_fuse, &t_dst}); + } + else + { + runtime.run({&t_lhs, &t_rhs, &t_dst}); + } + + return t_dst; + } + + SimpleTensor<T> compute_reference(const TensorShape &shape0, const TensorShape &shape1, const TensorShape &shape2) + { + // Create reference + SimpleTensor<T> ref_lhs{shape0, _data_type, 1, QuantizationInfo()}; + SimpleTensor<T> ref_rhs{shape1, _data_type, 1, QuantizationInfo()}; + SimpleTensor<T> ref_rhs_fuse{shape2, _data_type, 1, QuantizationInfo()}; + + // Fill reference + fill(ref_lhs, 0); + fill(ref_rhs, 1); + SimpleTensor<T> ref_dst = reference::pixel_wise_multiplication<T, T, T>( + ref_lhs, ref_rhs, 1.f, ConvertPolicy::SATURATE, RoundingPolicy::TO_NEAREST_UP, _data_type, + QuantizationInfo()); + if (_fuse) + { + fill(ref_rhs_fuse, 2); + SimpleTensor<T> ref_dst_fuse = reference::pixel_wise_multiplication<T, T, T>( + ref_dst, ref_rhs_fuse, 1.f, ConvertPolicy::SATURATE, RoundingPolicy::TO_NEAREST_UP, _data_type, + QuantizationInfo()); + return ref_dst_fuse; + } + return ref_dst; + } + + TensorType _target{}; + SimpleTensor<T> _reference{}; + DataType _data_type{}; + bool _is_inplace{false}; + bool _fuse{false}; }; template <typename TensorType, typename AccessorType, typename FunctionType, typename T> -class DynamicFusionMulOneOpValidationFixture : public DynamicFusionMulValidationFixture<TensorType, AccessorType, FunctionType, T> +class DynamicFusionMulOneOpValidationFixture + : public DynamicFusionMulValidationFixture<TensorType, AccessorType, FunctionType, T> { public: - void setup(const TensorShape &shape0, DataType data_type, bool is_inplace) - { - DynamicFusionMulValidationFixture<TensorType, AccessorType, FunctionType, T>::setup(shape0, shape0, TensorShape(), data_type, is_inplace); - } + void setup(const TensorShape &shape0, DataType data_type, bool is_inplace) + { + DynamicFusionMulValidationFixture<TensorType, AccessorType, FunctionType, T>::setup( + shape0, shape0, TensorShape(), data_type, is_inplace); + } }; template <typename TensorType, typename AccessorType, typename FunctionType, typename T> -class DynamicFusionMulBroadcastValidationFixture : public DynamicFusionMulValidationFixture<TensorType, AccessorType, FunctionType, T> +class DynamicFusionMulBroadcastValidationFixture + : public DynamicFusionMulValidationFixture<TensorType, AccessorType, FunctionType, T> { public: - void setup(const TensorShape &shape0, const TensorShape &shape1, DataType data_type, bool is_inplace) - { - DynamicFusionMulValidationFixture<TensorType, AccessorType, FunctionType, T>::setup(shape0, shape1, TensorShape(), data_type, is_inplace); - } + void setup(const TensorShape &shape0, const TensorShape &shape1, DataType data_type, bool is_inplace) + { + DynamicFusionMulValidationFixture<TensorType, AccessorType, FunctionType, T>::setup( + shape0, shape1, TensorShape(), data_type, is_inplace); + } }; template <typename TensorType, typename AccessorType, typename FunctionType, typename T> -class DynamicFusionMulTwoOpsValidationFixture : public DynamicFusionMulValidationFixture<TensorType, AccessorType, FunctionType, T> +class DynamicFusionMulTwoOpsValidationFixture + : public DynamicFusionMulValidationFixture<TensorType, AccessorType, FunctionType, T> { public: - void setup(const TensorShape &shape0, const TensorShape &shape1, const TensorShape &shape2, DataType data_type, bool is_inplace, bool fuse_two_ops) - { - DynamicFusionMulValidationFixture<TensorType, AccessorType, FunctionType, T>::setup(shape0, shape1, shape2, data_type, is_inplace, fuse_two_ops); - } + void setup(const TensorShape &shape0, + const TensorShape &shape1, + const TensorShape &shape2, + DataType data_type, + bool is_inplace, + bool fuse_two_ops) + { + DynamicFusionMulValidationFixture<TensorType, AccessorType, FunctionType, T>::setup( + shape0, shape1, shape2, data_type, is_inplace, fuse_two_ops); + } }; } // namespace validation } // namespace test } // namespace arm_compute -#endif /* TESTS_VALIDATION_FIXTURES_DYNAMIC_FUSION_OPERATORS_MULFIXTURE */ +#endif // ACL_TESTS_VALIDATION_FIXTURES_DYNAMIC_FUSION_OPERATORS_MULFIXTURE_H |